activity
20232026
most citedAuditable Algorithms for Approximate Model Counting

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LO2026

Certifying Almost-Sure Reachability in Unknown MDPs

S Akshay, Suguman Bansal, Gaurav Mahla

{\em Specification-Guided Reinforcement Learning (RL)} has largely concerned itself with \emph{learning} an optimal policy against a formal specification in an unknown {\em Markov…

cs.FL2025

TEMPORA: Efficient Verification of Metric Temporal Properties with Past in Pointwise Semantics

S. Akshay, Prerak Contractor, Paul Gastin +2

Model checking for real-timed systems is a rich and diverse topic. Among the different logics considered, Metric Interval Temporal Logic (MITL) is a powerful and commonly used logi…

cs.LG2025

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models

Aniruddha Joshi, Supratik Chakraborty, S Akshay +3

Creating meaningful interpretations for black-box machine learning models involves balancing two often conflicting objectives: accuracy and explainability. Exploring the trade-off…

cs.LO2025

Presburger Functional Synthesis: Complexity and Tractable Normal Forms

S. Akshay, A. R. Balasubramanian, Supratik Chakraborty +1

Given a relational specification between inputs and outputs as a logic formula, the problem of functional synthesis is to automatically synthesize a function from inputs to outputs…

cs.FL2024

MITL Model Checking via Generalized Timed Automata and a New Liveness Algorithm

S. Akshay, Paul Gastin, R. Govind +1

The translation of Metric Interval Temporal Logic (MITL) to timed automata is a topic that has been extensively studied. A key challenge here is the conversion of future modalities…

cs.LO2024

On Dependent Variables in Reactive Synthesis

S. Akshay, Eliyahu Basa, Supratik Chakraborty +1

Given a Linear Temporal Logic (LTL) formula over input and output variables, reactive synthesis requires us to design a deterministic Mealy machine that gives the values of outputs…

cs.LO2023★ 1 cited

Auditable Algorithms for Approximate Model Counting

Kuldeep S. Meel, Supratik Chakraborty, S. Akshay

Model counting, or counting the satisfying assignments of a Boolean formula, is a fundamental problem with diverse applications. Given #P-hardness of the problem, developing algori…